Dogfooding, using your own product internally before shipping, catches bugs and broken flows. It is not user research. Nielsen Norman Group draws this line clearly, and most product teams are ignoring it.
The core problem: your team knows too much. Developers, designers, and PMs carry context that real users never have. That expertise creates blind spots that no amount of internal testing can eliminate. The article uses the current AI product sprint as the stress case, where teams are dogfooding AI tools at speed and calling it validation. It is not. NNG separates three distinct activities: dogfooding for QA, dogfooding for empathy, and actual user research. Only one of them tells you how strangers will behave with your product.
The Zuckerberg and Musk examples in the opening are not decoration. They set up a sharper argument about the difference between performance and process. If your team is shipping AI products and calling internal use a research method, this article is a direct challenge to that workflow. Read it for the framework, not just the conclusion.
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